






"""simple docstring"""







import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


_UpperCamelCase	     =    namedtuple(
    """_TestCommandArgs""",
    [
        """dataset""",
        """name""",
        """cache_dir""",
        """data_dir""",
        """all_configs""",
        """save_infos""",
        """ignore_verifications""",
        """force_redownload""",
        """clear_cache""",
    ],
    defaults=[None, None, None, False, False, False, False, False],
)

def _a					(						_snake_case ,			_snake_case				):







      """simple docstring"""






      return (abs(source - target				) / target) < 0.01






@pytest.mark.integration
def _a					(						_snake_case				):







      """simple docstring"""






      UpperCAmelCase							     =			_TestCommandArgs(dataset=__lowerCAmelCase ,			all_configs=__lowerCAmelCase ,			save_infos=__lowerCAmelCase				)
      UpperCAmelCase							     =			TestCommand(*__lowerCAmelCase				)
      test_command.run()
      UpperCAmelCase							     =			os.path.join(__lowerCAmelCase ,			"""README.md"""				)
      assert os.path.exists(__lowerCAmelCase				)
      UpperCAmelCase							     =			DatasetInfosDict.from_directory(__lowerCAmelCase				)
      UpperCAmelCase							     =			DatasetInfosDict(
          {
              """default""": DatasetInfo(
                  features=Features(
                      {
                          """tokens""": Sequence(Value("""string"""				)				),
                          """ner_tags""": Sequence(
                              ClassLabel(names=["""O""", """B-PER""", """I-PER""", """B-ORG""", """I-ORG""", """B-LOC""", """I-LOC"""]				)				),
                          """langs""": Sequence(Value("""string"""				)				),
                          """spans""": Sequence(Value("""string"""				)				),
                      }				) ,			splits=[
                      {
                          """name""": """train""",
                          """num_bytes""": 235_1563,
                          """num_examples""": 1_0000,
                      },
                      {
                          """name""": """validation""",
                          """num_bytes""": 23_8418,
                          """num_examples""": 1000,
                      },
                  ] ,			download_size=394_0680 ,			dataset_size=258_9981 ,			)
          }				)
      assert dataset_infos.keys() == expected_dataset_infos.keys()
      for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
            UpperCAmelCase     ,   UpperCAmelCase							     =			getattr(dataset_infos["""default"""] ,			__lowerCAmelCase				), getattr(expected_dataset_infos["""default"""] ,			__lowerCAmelCase				)
            if key == "num_bytes":
                  assert is_apercent_close(__lowerCAmelCase ,			__lowerCAmelCase				)
            elif key == "splits":
                  assert list(__lowerCAmelCase				) == list(__lowerCAmelCase				)
                  for split in result:
                        assert result[split].name == expected[split].name
                        assert result[split].num_examples == expected[split].num_examples
                        assert is_apercent_close(result[split].num_bytes ,			expected[split].num_bytes				)
            else:
                  result == expected




"""simple docstring"""


from .imports import is_rich_available


if is_rich_available():
	from rich.traceback import install

	install(show_locals=False)

else:
	raise ModuleNotFoundError('To use the rich extension, install rich with `pip install rich`')


